Human Deprivation Index: A Measure of Multidimensional Poverty

Size: px
Start display at page:

Download "Human Deprivation Index: A Measure of Multidimensional Poverty"

Transcription

1 MPRA Munich Personal RePEc Archive Human Deprivation Index: A Measure of Multidimensional Poverty Marimuthu Sivakumar and A Sarvalingam Chikkaiah Naicker College, Erode, Tamil Nadu, India 26. April 2010 Online at MPRA Paper No , posted 28. April :12 UTC

2 Human Deprivation Index: A Measure of Multidimensional Poverty BY DR.M.SIVAKUMAR, M.A, M.PHIL, PH.D, ASSISTANT PROFESSOR OF ECONOMICS, CHIKKAIAH NAICKER COLLEGE, ERODE TAMILNADU, INDIA. AND DR.A.SARVALINGAM, M.A, M.PHIL, PH.D, ASSOCIATE PROFESSOR OF ECONOMICS, CHIKKAIAH NAICKER COLLEGE, ERODE TAMILNADU, INDIA.

3 Human Deprivation Index: A Measure of Multidimensional Poverty INTRODUCTION Most of the poverty studies are focusing on income concept only. Like that economic growth and development studies are also giving importance to the income concepts. But poverty is a multidimensional concept. Growth and development are also multi sector approaches. So that the study about these is also should be a multidimensional study. The human development and human deprivation studies have opened new perspectives on measuring and analysing poverty and development with the help of multidimensional concept. The present study, in this context will serve to enrich useful knowledge about human deprivation which analysis the poverty multi dimensionally. DATA AND METHODOLOGY Fifteen major Indian States have been selected for the analysis in this study and the study period covers from 1981 to The present study is based on the data of the Planning Commission, Government of India, National Family Health Survey I & II, National Sample Surveys and Census of India. 1

4 The percentage of population living below poverty line (BPL) is based on the data of Planning Commission of India, Infant Morality Rate is based on Census of India 1997 data, and Economic Survey, Govt of India data, and Illiteracy is derived from the Literacy rate published by Tenth Five Year Plan , Govt of India, and Census of India 1991and For the construction of Human Deprivation Index equal weightage has given to the poverty, health and education variables. To find out year wise data interpolation and extrapolation statistical tool is used. For analysing the relationship between human deprivation index and poverty, health, and education multiple regression analysis is used. POVERTY Poverty is a complex and multidimensional socio-economical phenomenon in which a section of the people is unable to fulfill even their necessities of life. Poverty is a condition of severe deprivation in basic human needs. It is a state in which a family s income is too low to be unable to buy the quantities of food, shelter, clothing, and avail education and health facilities that are deemed necessary. Poverty is not just low income and low consumption but a multiple deprivation causing premature death, chronic undernourishment, 2

5 illiteracy, illness and social exclusion (John M. Alexander 2005). It is the situation in that not having enough today in some dimensions of well being. What is typically referred to as poverty, that is, whether households or individuals possess not enough resources or abilities to meet their current needs (PRSP Source Book 2002). According to World Bank, poverty is hunger, poverty is lack of shelter. Poverty is being sick and not being able to see a doctor. Poverty is not being able to go to school, not knowing how to read, and not being able to speak properly. Poverty is not having a job, it is fear for the future, and it is living from hand to mouth. Poverty is losing a child to illness brought about by unclean water. Poverty is powerlessness, lack of freedom. Poverty is the state of being deprived of the essentials of wellbeing such as adequate housing, food, sufficient income, employment, health and education. It is lack of goods and services necessary to maintain a minimum adequate standard of living which is mainly depends on income or expenditure, education and health conditions. The poor are defined as those who lack command over basic consumption needs, including food and non-food components, such as 3

6 health, education, shelter, etc. According to the World Bank "Poverty is pronounced deprivation in well-being", where well-being can be measured by an individuals possessions of income, health, nutrition, education, assets, housing, and certain rights in a society such as freedom of speech (WDR 2000/2001). Poverty is multidimensional in nature. Poverty is associated not only with insufficient income or consumption but also with insufficient outcomes with respect to health, nutrition, and literacy and deficient social relations, insecurity, and low self-esteem and powerlessness. In some cases it is feasible to apply the tools that have been developed for monetary poverty measurement to nonmonetary indicators for well-being. Applying the tools of poverty measurement to nonmonetary indicator for a "given individual or household to a threshold or "poverty line" under which it can be said that the individual or household is not able to meet basic needs (PRSP Source Book 2002). POVERTY: A MULTI DIMENSIONAL CONCEPT Since poverty is a multidimensional phenomenon, measurement of poverty must cover many dimensions. So far, the income and/or consumption indicator has received most attention. But, now the focus is shifted towards deprivation in different dimensions for example income, 4

7 health and education. Poverty is often defined in terms of income. But to describe its multi dimension, different sets of indicators are required. They may include poverty line, unemployment, life expectancy, morality and morbidity, literacy level, availability and access to health services, water and sanitation. Poverty is analysed conventionally in terms of income, based on the assumption that the well-being is determined mostly by the income. But other social factors like education, health are also important determinants of poverty. To analyse the poverty in depth, there is a need to look beyond income and consumption expenditure. Income is an important indicator but there is a need to look beyond income poverty measure because poverty has many dimensions. Apart from low income, ill health, illiteracy has also worsened the living conditions of the poor. According to UN World summit for Social Development in Copenhagen 1995, overall poverty takes various forms, including lack of income and productive resources to ensure sustainable livelihoods, hunger and malnutrition, ill health, limited or lack of access to education and other basic services, increased morbidity and mortality from illness, homelessness and inadequate housing, unsafe environmental and social 5

8 discrimination and exclusion. It is also characterized by lack of participation in decision making and in civil, social and cultural life. Even the poor has been identified with the help of income yardstick, manifestation of poverty has many facets. On the health aspects it reflects nutritional deficiencies and unhygienic living conditions which raise the susceptibility to disease to lead to a high incidence of mortality and low life expectancy. It also represents lack of education and skills which acts as a barrier to more production or higher wage employment. It also associated with unemployment and under-employment. According to United Nations, absolute poverty is a condition characterized by severe deprivation of basic human needs, including food, safe drinking water, sanitation facilities, health, shelter, education and information. It depends not only on income but also on access to social services. To get a complete idea of poverty, one has to thus to enlarge the canvas of study and talk in terms of deprivations and not merely income as it is in the deprivation of the lives that people can lead that poverty manifests itself. The primacy in the income or expenditure definition of poverty has been actively challenged by such leading thinkers as Amartya Sen, who has advocated instead a definition of poverty based on the capacity 6

9 of the poor to improve their condition, and who considers health and education status as important for this as income. Amartya Sen proposed that poverty analysis should focus on an individual s access to opportunities and factors such as health, nutrition and education that reflects an individual s basic capacity for effective function in a society. Poverty is truly a multidimensional phenomenon. So, to assess its effect, an indicator covering its multi dimensions is needed. By thus, we can analyse the poverty very widely and deeply. Combining monetary and social indicators not only captures the multiple dimensions of deprivation, but may also shed light on its chronic or transient nature. Ultimate, one must recognize that poverty lines -however defined will always represent an arbitrary cut-off point that alone, may not offer the best guide for policy making. More important than searching for the single best poverty line is to explore the sensitivity of poverty estimates to the choices and assumptions behind the statistics, as well as the use of alternative lines and measures. What matters, after all, is to find robust measures that allow users to assess time trends in poverty, analyze its determinants and profile, and establish poverty rankings without having to accept the normative judgments that inevitably underlie any single measure. 7

10 Poverty is defined by poverty line, i.e. the minimum income needed to be able to satisfy minimum basic needs. But income is not the only kind of deprivation people may suffer. Although income deprivation may give rise to several other kind of deprivations, people may suffer acute deprivation in many aspects of life even if they posses adequate command over commodities. It is the low level of well-being which is important rather than low level of income. Thus poverty should be viewed as the deprivation of basic capabilities rather than merely as low level of income. Poverty encompasses not only material deprivation (measured by income or consumption) but also many other forms of deprivations in different aspects of life such as unemployment, ill health, lack of education, vulnerability, powerlessness, social exclusion and so on. Dimensions of poverty included not only income poverty, but many others, for example, health, education, nutrition, sanitation, housing, political freedom, gender equality, vulnerability. According to the human development concept poverty is reflecting the lack of choices and opportunities in the key areas of education, health and command over resources, as well as voice related to democratic process. Poverty as a public policy concern, whether at the global, national or community level is now widely considered to be a multidimensional 8

11 problem. Over the last few decades, new perspective on poverty has challenged the focus on income and consumption as defining condition of poor people. Studies of the problem of poor people and communities, and of the obstacles and opportunities to improving their situation, have led to an understanding of poverty as a complex set of deprivations (Sakiko Fukuda- Parr 2006). For poverty studies, much of the focus has been on income aspects only. But to understand the persistent and severity of the poverty, other dimensions should also be analysed. A broader multidimensional and disciplinary perspective approach is needed to understand the complete severity of poverty. People can be said to be in poverty when they are deprived of income and other resources needed to obtain the condition of life- the diets, material goods, amenities, standards and services, that enable them to play the roles, meet the obligations and participate in the relative and customs of their society (Townsend.P.1987). IMPORTANCE OF HUMAN DEPRIVATION ANALYSIS Poverty is viewed not only in terms of lack of adequate income, but as a state of deprivation spanning to social, economic and political context of the people that prevent their effective participation as equals in the development process. Poverty is often defined in terms of a person s income. But to describe its multi-dimensions different sets of indicators 9

12 are required. These might include poverty line unemployment, life expectancy, mortality and morbidity, literacy level, availability and access to health services, water and sanitation. These indicators are interrelated. For example female education plays an important role in determining health status of the family. Educated women are more likely to earn more income, hear the health education messages, access better health services and adopt healthy and hygienic practices which can have beneficial outcomes for themselves and also far their children and family members. Per capita income does not always ensure enrichment in quality of life reflected in broader dimensions of well-being into in indicators on longevity, or, for that matter, environmental sustainability. Even though income increase is considered as important goal of development, income alone is not the sum total of human life. National income may useful for many purposes, but may not be necessarily reveal the composition of income or the real beneficiaries. Per capita income does not always ensure enrichment in quality of life reflected in broader dimensions of well-being like in indicators on longevity, knowledge and decent standard of living. Single dimension analysis especially the income poverty analysis which gives only a partial picture of many ways of don t explicit the seat situation and it is also obscured. Some one can enjoy good health and 10

13 live quite long but be illiterate and thus cut-off from learning, from communication and from interactions with others. Another person may be literate and quite well educated but prone to premature death because of epidemiological characteristics or physical disposition. Yet a third may be excluded from participating in the important decision making processes affecting her life. The deprivation of none of them can be fully captured by the level of their income (UNDP HDR 2007). Poverty eradication first required better definition and measure of poverty. Measuring human poverty is not an easy task. Lot of indicators, variable and index are available. They are covering various dimensions of poverty and still a search for appropriate index is continuing. One reason why the $1/day measure is relied upon for overall monitoring purposes is the need to look at one number rather than 49 different ones to make an overall assessment of progress. It is useful to have focused measures of critical areas of human well being such as child mortality or access to clean water. But it is difficult to decide which one to use in making an overall assessment about whether poverty overall is improving or deteriorating. A composite measure therefore is needed to make this overall assessment that can aggregate the different features of deprivation (Sakiko Fukuda Parr 2006). 11

14 HUMAN DEPRIVATION Human deprivation is lack of human capabilities, opportunities, choices, values and access to basic needs such as food, shelter, cloth, health, education etc.,. Poverty is seen as deprivations in opportunities that can result in lesser accumulation of human capabilities, which are essential for leading a tolerable life. Human deprivation in capabilities results from lack of opportunities, i.e., from lack of access to services, assets and employment. The two concepts of poverty and deprivation are tightly linked but there is general agreement that the concept of deprivation covers the various conditions, independent of income, experienced by people who are poor, while the concept of poverty refers to the lack of income and other resources which make those conditions inescapable or at least highly likely (David Gordon.et.al 2003). According to Townsend P. deprivation may be defined as a state of observable and demonstrable disadvantage relative to the local community or the under society or nation to which an individual, family or group belongs. The idea has come to be applied to conditions (that is, physical, emotional or social status or circumstances) rather than resources and to specific and not only general circumstances, and therefore can be distinguished from the concept of poverty. Deprivation 12

15 concept is broader than poverty concept. Deprivation concept analyse capabilities, opportunities, empowerment, and vulnerability etc. It gives a broader view than the poverty analysis. Deprivation indices are broader measures because they reflect different aspects of living standards, including personal, physical and mental conditions, local and environmental facilities, social activities and customs. Deprivation is the focus on the lack of goods, services or social relations or inadequate physical or social environment and resources needed for human life. It also looks the relative loss of avenues for using or enhancing capabilities. Deprivation takes many different forms in every known society. People can be said to be deprived if they lack the types of diet, clothing, housing, household facilities and fuel and environmental, educational, working and social conditions, activities and facilities which are customary, widely encouraged and approved, in the societies to which they belong. Deprivation is the situation where people cannot obtain the necessities for the life and poverty is the basic cause for that. Deprivation refers to peoples unmet needs, where as poverty refers to the lack of resources require to meet those needs. 13

16 HUMAN DEPRIVATION INDEX Poverty has many dimensions they are, low income, poor health, lack of education, inadequate housing, unemployment, and social exclusion. Analysing the various dimensions of poverty is getting importance because it gives most clear picture about severity of poverty and also various factors such as low income, poor health and illiteracy interact with each other and prevent the poor from escaping from poverty. A change in the definition of the welfare indicator that results in a change in the ranking in the population will result in a different set of people being defined as poor, even if the poverty line remains the same. Yes this aspect often receives less attention from the analyst despite the fact that the purpose of most poverty analysis is to identify the characteristics of the poor. Assessing the poverty, with the help of income indicator is not the exclusive paradigm for poverty assessment and non-monetary components of poverty are also useful in assessing poverty. Most of the poverty estimates do not take into account of the non-market access to public services, such as health and education. To avoid this and to quantify the poverty, poverty estimates must take into consideration of social indicates such as health and education etc. 14

17 The determination of a poverty line cannot be based on an arbitrary selection of a low level of income. Only scientific criteria independent of income can justify where the poverty line should be drawn. The multiplicity and severity of different types of deprivation can constitute those criteria. The key is therefore to define a threshold of income below which people are found to be thus deprived. The measure of multiple deprivations must be decided on the basis of evidence about each and every sphere of the range of social and individual activities people perform in fulfillment of individual and family needs and social obligations. The degree of material and social deprivation relative to income is the basis for ascertaining the threshold amount of income ordinarily required by household of different compositions to surmount poverty (Townsend.P 1987). Estimating deprivation with the help of poverty line alone couldn t explicit the complete impact of poverty. Apart from low income, ill health and illiteracy have also worsened the living conditions of the poor. So, deprivation estimation must include these also. To analyse the different facets of poverty, an indicator must reflect its dimensions. Human deprivation index has been reflecting the different facets of poverty. Economic indicators focus primarily on income poverty 15

18 whereas human deprivation index provides a measure of the multidimensional nature of poverty. Human deprivation index is a composite index based on the income, health and educational deprivations. For the analysis human deprivation index gives equal weightage for these three deprivations. There is lot of indicators for measuring these deprivations. For example, per capita income, percentage of population living below poverty line, unemployment, anaemia among children and mother, under-nourished children, infant mortality rate, maternal mortality rate, birth rate, death rate, immusation achievement, availability of health facilities, illiteracy, drop-out, student-teacher ratio, availability of educational facilities etc. But among these, very prominent, sensitive and effective indicators are selected for human deprivation index construction. Poverty has traditionally been measured using means indicators recently analysis poverty with end indicators is getting interest support and importance. Human deprivation index is one of such an index analysing poverty with the help of both means and end indicators such as poverty line, infant mortality rate and illiteracy rate. It is a composite index of three components, they are, percentage of population living below the poverty line i.e. head count index, which is used as a measure 16

19 of income deprivation, illiteracy which is used as a measure of educational deprivation and infant mortality rate is used as a measure of health deprivation. The income approaches of poverty view the poverty as income or consumption deprivation. Income poverty, which measures people s deprivation in income or consumption related to some standard of poverty line. The poverty line specifies the society s minimum standard of living to which everybody should be entitled. A person is identified as poor if he or she cannot enjoy this minimum. When estimating monetary measured of poverty one may have a choice between using income or consumption as the indicator of well-being. Human well being not only includes consumption of goods and services but also the accessibility of people to the basic needs like health, education, water and sanitation, etc.,. Human deprivation index is a composite index and it is used for measuring the multi-dimensions of deprivation. It also shows the limitations in distributing the fruits of development among people and achievements in three most important basic human needs viz., income, health and education. To represent the dimensions of human deprivation important variables are chosen from these aspects because income, health and education are important for human development. 17

20 According to the World Bank there are five core dimensions of poverty reflect the deprivation of human capabilities: economic (income, livelihoods, decent work), human (health, education), political (empowerment, rights, voice), socio-cultural (status, dignity) and protective (insecurity, risk, vulnerability). Among these deprivations income, health, education deprivations are taken for this analysis. Because, the data of these are the most sensitive, predominant, easily assessable and available for any kind of research and analysis. Income poverty is the main cause for ill health and illiteracy. Like that ill health and illiteracy leads to poverty. Low income, ill health, illiteracy are the key dimensions of poverty. Raising the income of the poor alone might not be enough to reduce poverty without improvements in the health and education of the poor. So, with income, health and education determines human development. Like that deprivation in income, health and education suffers people severely. Hence, these deprivations are getting priority in this analysis. Human deprivation Index is more comprehensive for evaluating the deprivation even within sub-national level. It is an appropriate index for cross-country analysis also. Since, poverty is a multidimensional phenomenon, indicators which are used to analyse it, should also be multidimensional. Hence in assessing poverty, non-income aspects of 18

21 poverty, such as deprivations in health, education have also to be included. Poor people cannot command or utilize resources. Income is the key for command over resources. Short fall in income leads to poverty deprivation. To measure income deprivation poverty line is used to compute the human deprivation in this analysis. Healthy and educated people contribute more to economic growth. Health and education enables the people to improve and use their capabilities. Deprivation in health and education affects people very severely. That leads to poverty. Hence, health and education deprivations are taken for assessment in this analysis. To be sure, infant and child mortality rate considerably more relevant for the poor than are some other society wide indicators such as life expectancy. Which might have been selected, because of the tendency for mortality among the poor to be concentrated in the younger age groups (Dwatkin.D.R 2000). Unlike the indicators on life expectancy that are relatively stable and slow moving, the infant and child mortality indicators are likely to be more sensitive to changes that have a bearing on the quality of life, particularly, to the health and longevity of people. These could be sudden adversities or nonavailability of critical public health and life support services. They are, thus, more useful from the point of policy targeting and tracking changes 19

22 in health attainments of a population at more frequent intervals, particularly when the population is yet to complete its demographic transition. Education is one of the basic needs for human development and to escape from poverty. The deprivation of education in itself represents poverty and it is an integral pat of poverty. Hence including educational deprivation is imperative for the complete analysis of poverty The present study proposes a composite index i.e., human deprivation index which is based on the deprivation in income, health and educational aspects. There are lots of indicators available for measuring human deprivation, but among these, very prominent and effective indicators have been taken for the construction of human deprivation index. Human deprivation index includes three equally - weighted indicators, they are poverty line, infant mortality rate, and illiteracy. In this study, for analysing human deprivation in India, State-wise human deprivation index have been constructed. Indicators on three aspects of deprivation have been considered for constructing the human deprivation index, they are income deprivation, health deprivation and education deprivation. In this analysis, Income deprivation is measured by population living below poverty line, health deprivation is measured by infant mortality rate and educational deprivation is measured by illiteracy rate. Based on the poverty line (percentage population living below the 20

23 poverty line), infant mortality rate (Number of infants dying under one year of age in a year per 1000 live births of the same year) and illiteracy rate (100- literacy rate), State-wise Human Deprivation Index is constructed for the year 1981, 1991 and These three indicators are given equal weightage for constructing Human Deprivation Index of Indian States. After constructing Human Deprivation Index, the States are ranked according to their derivational index points. According to the rank, the number one state is first in human deprivation and can be said as worst in human development. Human Deprivation Index (HDepI) t 1 = (Poverty line) t1 + (Infant Mortality Rate) t1 + (illiteracy rate) t1, Where as, t1 is the year selected for the analysis. 21

24 Table No: 1 Human Deprivation Index of India for the year 1981 Sl.NO States BPL IMR Illiteracy HDepI Value HDepI Rank 1 Orissa Madhya Pradesh Rajasthan Uttar Pradesh Bihar Assam Maharastra Haryana West Bengal Tamil Nadu Gujrat Punjab Andhra Pradesh Karnataka Kerala INDIA From the above table it can be observed that in 1981 India s deprivation was very serious and severe. In 1981, India s human deprivation index was an alarming high and this is mainly because of high infant mortality rate that means at that time health deprivation was severely affected the people. In 1981, Orissa was the most deprived State in India. Its deprivation index was that was above India s index. But comparing with the next follower i.e. Madhya Pradesh, the illiteracy was better than that State. In that period above 72% of people were illiterate in Madhya Pradesh and Orissa had 65.80% of illiterate 22

25 people. But in income and health aspects Madhya Pradesh was least deprived than Orissa. At that time, in Orissa 66.85% of people were below the poverty line and the IMR for that State was 163 which was highest in the country, comparatively Madhya Pradesh had human deprivation index and there was 53.50% people were below poverty line and the IMR was 150. Rajasthan was in third place with human deprivation index and the Uttar Pradesh State was at 4 th place with deprivation index, which was a little bit lower than Rajasthan s index. Bihar, a well known State for it s under development stood at 5 th place with index. In this aspect, comparing with Orissa, it was better State in these deprivational aspects. Surprisingly, its IMR was 94, which was below the national average. Assam followed in 6 th position with index. Then India s industrial State Maharastra was at 7 th place, with index, this was mainly because of the high infant mortality rate Surprisingly, Haryana was at next in 8 th position. At all India level, Haryana was the State in which second least number of people live below the poverty line i.e., only 23.81% but due to the high IMR 126 and illiteracy its position was peaked to the 8 th place. This shows that if a State or a 23

26 Country even better in income aspect won t have automatically better health and education situation. West Bengal a well known State for land reforms stood at 9 th place with index and next that Tamil Nadu was at 10 th place with a very few better index secured that position below West Bengal. Even though it s high IMR -115, Gujrat was in 11 th position with points and it had only 35.39% of BPL people in In 1981, Punjab was the better State in income aspects, because it had only 17.15% of BPL people, it was the least in all over India. But due to high IMR and Illiteracy its position was above Kerala, Karnataka and Andhra Pradesh. Punjab s IMR and illiteracy were above all India s average. Andhra Pradesh was at 13 th place with index, illiteracy rate (64.38) was high during that time. Karnataka was the Second Best State with index points and at 14 th place. Even though it was at better position in overall deprivation position, it s illiteracy rate above India s illiteracy rate. Kerala was the least deprived State during that period with index, which was at 15 th place. The main reason for that was it had low IMR and illiteracy rate in the country. It s achievement in human development sphere is commendable and comparable with well developed countries, 24

27 that shows, why Kerala is least deprived State in India. This proves that apart from income, health and education also playing vital role in human development and deprivation. So, an adequate importance should be given to health and educational sectors which are also playing key role in a country s development. Table No: 2 Human Deprivation Index of India for the year 1991 Sl.NO States BPL IMR Illiteracy HDepI Value HDepI Rank 1 Madhya Pradesh Orissa Uttar Pradesh Bihar Assam Rajasthan Karnataka Maharastra West Bengal Gujrat Andhra Pradesh Tamil Nadu Punjab Haryana Kerala INDIA From the above table it is noted that in 1991, Madhya Pradesh captured the first position in human deprivation because of the high infant mortality. It had human development index points. On the other 25

28 hand, Orissa, due to some improvements in infant mortality reduction, attained second position with deprivational index, but it had more below poverty line people (51.64) than Madhya Pradesh (43.88) index. Due to low performances in health and educational sectors Uttar Pradesh moved to 3 rd place with points. Bihar, as usual, followed Uttar Pradesh at 4 th place with human development index. Due to its severe health deprivation IMR- 92, Assam occupied 5 th place with points. Rajasthan because of its slight improvement in health and education, with human deprivational points, it went to 6 th position. Due to its very slow progress in the development Karnataka climbed from the 14 th position in 1981 to 7 th position in 1991 with points. Climbing in the human deprivation position is a bad sign of development. That means Karnataka during that period, comparing with other States, stagnated in over all socio-economic development. Maharastra was at 8 th place with points. West Bengal stood at the 9 th position with its points. After that Gujrat was at 10 th place with human deprivation index. Andhra Pradesh was at 11 th position with points, due to its overall development, with near about 50% reduction in IMR from 104 in 1981 to 54 in 1991 and with illiteracy rate, Tamil Nadu went to 12 th 26

29 place with human deprivation index. Punjab also performed well and went to 13 th place with points. Even though an increase in poverty rate, Haryana, because of its remarkable achievement in health and education development its deprivation index went to in 1991 from in Because of it, in the human deprivation place, that State went from 8 th place to 14 th place. Haryana s IMR and illiteracy reduction during 1981 and 1991 was really laudable. IMR reduction was almost two third. In 1981, IMR was 126 where as in 1991 it reduced to 52. In 1991 also, as usual, Kerala stood at 15 th place with human deprivation index. Its illiteracy rate was at that period; it was equal to developed country s record. 27

30 Table No: 3 Human Deprivation Index of India for the year 2001 Sl.NO States BPL IMR Illiteracy HDepI Value HDepI Rank 1 Orissa Madhya Pradesh Bihar Uttar Pradesh Assam Rajasthan Andhra Pradesh West Bengal Karnataka Haryana Gujrat Tamil Nadu Maharastra Punjab Kerala INDIA During 2001 also once again Orissa occupied the 1 st position with human deprivation index points. It was the highly deprived State in that period. It was an implication of prolonged underdevelopment. Except educational deprivation, it was the first State in income deprivation BPL and in health deprivation IMR 98. After that, Madhya Pradesh had most deprivation index and occupied the second place. Its IMR was an alarming 97. Due to its high illiteracy rate 52.47, Bihar stood at 3 rd place with human deprivation index. Its income deprivation was also very 28

31 high. It was the second State that having more number of below poverty people i.e Uttar Pradesh followed Bihar, in 4 th position, even though it was one of the most deprived State in health and education due to its fair BPL rate it occupied that position with index. Assam retained its 5 th position with human deprivation points. Rajasthan, even though it had very impressive low BPL 12.57, because of its high IMR 83, it was at 6 th position. Andhra Pradesh at 7 th place with human deprivation points, this was mainly due to slow decreasing rate of deprivation. Comparing with 1991, ironically, its IMR was increase in In 1991, IMR was 55 where as in 2001 it was 66 and its performance in health was disappointing. West Bengal, during 2001 stepped up one position to 8 th place with points because of its high IMR and illiteracy rate. On the other hand, Karnataka performed well during that period and moved from its 7 th position in 1991 to 9 th position in 2001 with deprivation index. But during the same period, Haryana, performed poorly in health deprivation aspects and climbed to 10 th position with points. During 1991, it had only 52 IMR but in 2001 the IMR was 69, a dismal increase. Gujrat occupied 11 th position with deprivation points. Tamil Nadu followed it, and at 12 th position with index. This is mainly 29

32 because of reduction in the illiteracy rate. Maharastra, due to its achievement in the IMR reduction, went from 8 th position in 1991 to 13 th position in 2001 with deprivation points. Punjab, with the achievement in the poverty reduction occupied 14 th position with points. It was the State that had least percentage of BPL people i.e in 2001 which was equal to the same of the developed countries. As usual, Kerala was the least deprived State in the country. It was at the bottom of the table with deprivation index and stood at 15 th place. That s why Kerala is being compared with some of the developed countries in human development sphere. INFLUENCE OF POVERTY LINE, INFANT MORTALITY AND ILLITERACY ON HUMAN DEPRIVATION INDEX AN ANALYSIS This section deals with the analysis of Human Deprivation and its relationship with poverty line, infant mortality and illiteracy. As indicated earlier, in this section, State-wise and all India analysis have been carried out. Multiple regression model has been used for the analysis. The main aim of this analysis is to find the influence of the poverty, health and education on human deprivation. To find out that, multiple regression analysis has been carried out, for that, the percentage of population who are living below poverty line i.e. BPL, infant mortality 30

33 rate and illiteracy rate are taken as independent variables and human deprivation index is considered as the dependent variable. The multiple regression model of the analysis is, y = α 1 + β 1 x 1 + β 2 x 2 + β 3 x 3 +e 1 in which y is human deprivation index, α 1 is constant, x 1 is percentage of population living below poverty line, x 2 is infant mortality rate, and x 3 is illiteracy rate and e 1 is error term The error term e 1 is assumed to be normally distributed with zero mean, constant variance and uncorrelated with the explanatory variables. 31

34 Table No: 4. Human Deprivation Index, BPL, IMR, and Illiteracy of India from 1981 to 2001 Human Deprivation Year Index BPL IMR ILLITERACY The regression equation of India is y = x x x 3 At the all India level, the three variables brought the uniform influence on human deprivation index. A unit change in BPL brought about 0.34 percent change in human deprivation index. Like that a unit change in infant mortality and illiteracy brought about each 0.33 percent change in human deprivation index. 32

35 Table No: 5. Human Deprivation Index, BPL, IMR, and Illiteracy of Andhra Pradesh from 1981 to 2001 Human Deprivation Year Index BPL IMR ILLITERACY The regression equation of Andhra Pradesh is y = x x x 3 From this equation it is estimated that a unit change in below poverty brought about 0.39 percent change in human deprivation index. Like that, a unit change in infant mortality brought about 0.33 percent change in human deprivation index and also a unit change in Illiteracy brought about 0.30 percent change in human deprivation index. Hence it is clear from this analysis that the influence of poverty was high on human deprivation in Andhra Pradesh. 33

36 Table No: 6. Human Deprivation Index, BPL, IMR, and Illiteracy of Assam from 1981 to 2001 Year Human Deprivation Index BPL IMR ILLITERACY The regression equation of Assam is y = x x x 3 It is obvious from the above equation that a unit change in illiteracy brought about 0.40 percent change in human deprivation index. A unit change in below poverty made 0.37 percent change in human deprivation index and a unit change in infant mortality brought about 0.29 percent change in human deprivation. So, it is found that the influence of illiteracy was high on human deprivation in Assam. 34

37 Table No: 7. Human Deprivation Index, BPL, IMR, and Illiteracy of Bihar from 1981 to 2001 Human Deprivation Year Index BPL IMR ILLITERACY The regression equation of Bihar is y = x x x 3 It is observed from the above equation that a unit change in illiteracy brought about 0.69 percent change in human deprivation index. A unit change in below poverty brought 0.25 percent change in human deprivation index. And also, a unit change in infant mortality made 0.12 percent change in human deprivation index. It is found that the influence of illiteracy was very high on human deprivation index whereas the influence of infant mortality was very low in Bihar. 35

38 Table No: 8. Human Deprivation Index, BPL, IMR, and Illiteracy of Gujrat from 1981 to 2001 Year Human Deprivation Index BPL IMR ILLITERACY The regression equation of Gujarat is y = x x x 3 From the above equation it is found that a unit change in illiteracy made 0.92 percent change in human deprivation index. A unit change in below poverty brought about 0.23 percent change in human deprivation index. But a unit change in infant mortality brought only a meager of 0.08 percent change in human deprivation index. Hence, it is clear that the influence of illiteracy was very high on human deprivation where as the influence of infant mortality was meager. 36

39 Table No: 9. Human Deprivation Index, BPL, IMR, and Illiteracy of Haryana from 1981 to 2001 Human Deprivation Year Index BPL IMR ILLITERACY The regression equation of Haryana is y = ( ) +0.33x x x 3 From the above equation it is obvious that almost all the three factors had uniform influence on human deprivation index. Only illiteracy had more influence but it also a marginal only. A unit change in illiteracy made about 0.34 percent change on human deprivation index. All the three variables were influenced the human deprivation index almost equally in Haryana. 37

40 Table No: 10. Human Deprivation Index, BPL, IMR, and Illiteracy of Karnataka from 1981 to 2001 Human Deprivation Year Index BPL IMR ILLITERACY The regression equation of Karnataka is y = x x x 3 It is noted that a unit change in below poverty made 0.38 percent change on human deprivation index, like that a unit change in illiteracy made 0.34 percent change on human deprivation index. A unit change in infant mortality brought 0.28 percent change in human deprivation index. It is found that the influence of below poverty was high on human deprivation index where as the influence of infant mortality was minimum in Karnataka. 38

41 Table No: 11. Human Deprivation Index, BPL, IMR, and Illiteracy of Kerala for the period from 1981 to 2001 Human Deprivation Year Index BPL IMR ILLITERACY The regression equation of Kerala is y = x x x 3 From the above equation it is measured that a unit change in below poverty made 0.41 percent change on human deprivation index. A unit change in illiteracy brought about 0.30 percent change on human deprivation index and also a unit change in infant mortality made 0.28 percent change on human deprivation index. It is found that the influence of below poverty was high on human deprivation index where as the influence of infant mortality was minimum in Kerala. 39

42 Table No: 12. Human Deprivation Index, BPL, IMR, and Illiteracy of Madhya Pradesh from 1981 to 2001 Human Deprivation Year Index BPL IMR ILLITERACY The regression equation of Madhya Pradesh is y = ( ) +0.36x x x 3 From the above equation, it is observed that a unit change in below poverty brought about 0.36 percent change in human deprivation index and a unit change in infant mortality made 0.34 percent change in human deprivation index. A unit change in illiteracy brought about 0.31 percent change in human deprivation index. So, it is clear that the influence of below poverty was high on human deprivation index where as the influence of illiteracy was minimum in Madhya Pradesh. 40

Poverty Underestimation in Rural India- A Critique

Poverty Underestimation in Rural India- A Critique MPRA Munich Personal RePEc Archive Poverty Underestimation in Rural India- A Critique Marimuthu Sivakumar and A Sarvalingam Chikkaiah Naicker College, Erode 30. March 2010 Online at https://mpra.ub.uni-muenchen.de/21748/

More information

POVERTY TRENDS IN INDIA: A STATE WISE ANALYSIS. Kailasam Guduri. M.A. Economics. Kakatiya University

POVERTY TRENDS IN INDIA: A STATE WISE ANALYSIS. Kailasam Guduri. M.A. Economics. Kakatiya University Available online at: http://euroasiapub.org, pp. 348~355 POVERTY TRENDS IN INDIA: A STATE WISE ANALYSIS Abstract Kailasam Guduri M.A. Economics Kakatiya University First Millennium Development Goal (MDG

More information

Social Sector Scenario of India after the Economic Reforms (T. Maheswari, Asst. Professor in Economics, Lady Doak College, Madurai, Tamil Nadu)

Social Sector Scenario of India after the Economic Reforms (T. Maheswari, Asst. Professor in Economics, Lady Doak College, Madurai, Tamil Nadu) Social Sector Scenario of India after the Economic Reforms (T. Maheswari, Asst. Professor in Economics, Lady Doak College, Madurai, Tamil Nadu) Introduction Social sector comprising of sub-sectors like

More information

New Multidimensional Poverty Measurements and Economic Performance in Ethiopia

New Multidimensional Poverty Measurements and Economic Performance in Ethiopia New Multidimensional Poverty Measurements and Economic Performance in Ethiopia 1. Introduction By Teshome Adugna(PhD) 1 September 1, 2010 During the last five decades, different approaches have been used

More information

Forthcoming in Yojana, May Composite Development Index: An Explanatory Note

Forthcoming in Yojana, May Composite Development Index: An Explanatory Note 1. Introduction Forthcoming in Yojana, May 2014 Composite Development Index: An Explanatory Note Bharat Ramaswami Economics & Planning Unit Indian Statistical Institute, Delhi Centre In May 2013, the Government

More information

TRENDS IN SOCIAL SECTOR EXPENDITURE - AN INTER STATE COMPARISON

TRENDS IN SOCIAL SECTOR EXPENDITURE - AN INTER STATE COMPARISON TRENDS IN SOCIAL SECTOR EXPENDITURE - AN INTER STATE COMPARISON Mercy W.J Social sector public outlay and social development An inter state comparison Thesis. Department of Economics, Dr. John Matthai

More information

ECONOMIC DEVELOPMENT AND POVERTY IN INDIA: AN INTER STATE ANALYSIS

ECONOMIC DEVELOPMENT AND POVERTY IN INDIA: AN INTER STATE ANALYSIS International Journal of Economic Issues, Vol. 4, No. 2 (July-December, 2011): 343-356 International Science Press ECONOMIC DEVELOPMENT AND POVERTY IN INDIA: AN INTER STATE ANALYSIS MANJIT SINGH Lecturer

More information

Human Development Index (HDI) of India

Human Development Index (HDI) of India Human Development Index (HDI) in India Component IA: Personal Details Role Name Affiliation Principal Investigator Prof. Masood Ahsan Siddiqui Jamia Millia Islamia, New Delhi Paper Coordinator, if any

More information

Serbia. Country coverage and the methodology of the Statistical Annex of the 2015 HDR

Serbia. Country coverage and the methodology of the Statistical Annex of the 2015 HDR Human Development Report 2015 Work for human development Briefing note for countries on the 2015 Human Development Report Serbia Introduction The 2015 Human Development Report (HDR) Work for Human Development

More information

INDICATORS DATA SOURCE REMARKS Demographics. Population Census, Registrar General & Census Commissioner, India

INDICATORS DATA SOURCE REMARKS Demographics. Population Census, Registrar General & Census Commissioner, India Public Disclosure Authorized Technical Demographics Public Disclosure Authorized Population Urban Share Child Sex Ratio Adults Population Census, Registrar General & Census Commissioner, India Population

More information

Chapter II Poverty measurement in India

Chapter II Poverty measurement in India Chapter II Poverty measurement in India Poverty measurement in India CHAPTER- II Poverty is a state of Individual, a family or a society where people are unable to fulfill even their basic necessities

More information

Total Sanitation Campaign GOI,

Total Sanitation Campaign GOI, Total Sanitation Campaign GOI, 2012-13 Launched in 1999, the Total Sanitation Campaign (TSC) is the Government of India's (GOI) flagship programme for providing universal access to sanitation facilities.

More information

CHAPTER IV INTER STATE COMPARISON OF TOTAL REVENUE. and its components namely, tax revenue and non-tax revenue. We also

CHAPTER IV INTER STATE COMPARISON OF TOTAL REVENUE. and its components namely, tax revenue and non-tax revenue. We also CHAPTER IV INTER STATE COMPARISON OF TOTAL REVENUE This chapter deals with the inter state comparison of total revenue and its components namely, tax revenue and non-tax revenue. We also examine the growth

More information

Montenegro. Country coverage and the methodology of the Statistical Annex of the 2015 HDR

Montenegro. Country coverage and the methodology of the Statistical Annex of the 2015 HDR Human Development Report 2015 Work for human development Briefing note for countries on the 2015 Human Development Report Montenegro Introduction The 2015 Human Development Report (HDR) Work for Human

More information

Explanatory note on the 2014 Human Development Report composite indices. Ukraine. HDI values and rank changes in the 2014 Human Development Report

Explanatory note on the 2014 Human Development Report composite indices. Ukraine. HDI values and rank changes in the 2014 Human Development Report Human Development Report 2014 Sustaining Human Progress: Reducing Vulnerabilities and Building Resilience Explanatory note on the 2014 Human Development Report composite indices Ukraine HDI values and

More information

Employment and Inequalities

Employment and Inequalities Employment and Inequalities Preet Rustagi Professor, IHD, New Delhi. Round Table on Addressing Economic Inequality in India Bengaluru, 8 th January 2015 Introduction the context Impressive GDP growth over

More information

Introduction. Poverty

Introduction. Poverty Unit 4 Poverty Introduction In previous chapters, you have studied the economic policies that India has taken in the last five and a half decades and the outcome of these policies with relation to the

More information

Oman. Country coverage and the methodology of the Statistical Annex of the 2015 HDR

Oman. Country coverage and the methodology of the Statistical Annex of the 2015 HDR Human Development Report 2015 Work for human development Briefing note for countries on the 2015 Human Development Report Oman Introduction The 2015 Human Development Report (HDR) Work for Human Development

More information

Explanatory note on the 2014 Human Development Report composite indices. Argentina. HDI values and rank changes in the 2014 Human Development Report

Explanatory note on the 2014 Human Development Report composite indices. Argentina. HDI values and rank changes in the 2014 Human Development Report Human Development Report 2014 Sustaining Human Progress: Reducing Vulnerabilities and Building Resilience Explanatory note on the 2014 Human Development Report composite indices Argentina HDI values and

More information

Briefing note for countries on the 2015 Human Development Report. Lesotho

Briefing note for countries on the 2015 Human Development Report. Lesotho Human Development Report 2015 Work for human development Briefing note for countries on the 2015 Human Development Report Lesotho Introduction The 2015 Human Development Report (HDR) Work for Human Development

More information

Ministry of National Development Planning/ National Development Planning Agency (Bappenas) May 6 th 8 th, 2014

Ministry of National Development Planning/ National Development Planning Agency (Bappenas) May 6 th 8 th, 2014 Ministry of National Development Planning/ National Development Planning Agency (Bappenas) May 6 th 8 th, 2014 Schedule for this Session TIME TOPICS 13.00 14.00 Identification of the Poor 14.00 15.00 Measurement

More information

CHAPTER VII INTER STATE COMPARISON OF REVENUE FROM TAXES ON INCOME

CHAPTER VII INTER STATE COMPARISON OF REVENUE FROM TAXES ON INCOME CHAPTER VII INTER STATE COMPARISON OF REVENUE FROM TAXES ON INCOME In this chapter we discuss the growth of total revenue from taxes on income. We also examine the growth of revenue from agricultural income

More information

Explanatory note on the 2014 Human Development Report composite indices. Brazil. HDI values and rank changes in the 2014 Human Development Report

Explanatory note on the 2014 Human Development Report composite indices. Brazil. HDI values and rank changes in the 2014 Human Development Report Human Development Report 2014 Sustaining Human Progress: Reducing Vulnerabilities and Building Resilience Explanatory note on the 2014 Human Development Report composite indices Brazil HDI values and rank

More information

POPULATION PROJECTIONS Figures Maps Tables/Statements Notes

POPULATION PROJECTIONS Figures Maps Tables/Statements Notes 8 POPULATION PROJECTIONS Figures Maps Tables/Statements 8 Population projections It is of interest to examine the variation of the Provisional Population Totals of Census 2011 with the figures projected

More information

Lecture 19: Trends in Death and Birth Rates Slide 1 Rise and fall in the growth rate of India is the result of systematic changes in death and birth

Lecture 19: Trends in Death and Birth Rates Slide 1 Rise and fall in the growth rate of India is the result of systematic changes in death and birth Lecture 19: Trends in Death and Birth Rates Slide 1 Rise and fall in the growth rate of India is the result of systematic changes in death and birth rates from high levels to moderate levels. In the beginning

More information

Explanatory note on the 2014 Human Development Report composite indices. Colombia. HDI values and rank changes in the 2014 Human Development Report

Explanatory note on the 2014 Human Development Report composite indices. Colombia. HDI values and rank changes in the 2014 Human Development Report Human Development Report 2014 Sustaining Human Progress: Reducing Vulnerabilities and Building Resilience Explanatory note on the 2014 Human Development Report composite indices Colombia HDI values and

More information

The Human Development Indices

The Human Development Indices Human Development Reports Annual report since 1990, created by Mahbub ul Haq with Amartya Sen,, among others Addressing emerging development challenges from the human development perspective Using new

More information

Country Report of Yemen for the regional MDG project

Country Report of Yemen for the regional MDG project Country Report of Yemen for the regional MDG project 1- Introduction - Population is about 21 Million. - Per Capita GDP is $ 861 for 2006. - The country is ranked 151 on the HDI index. - Population growth

More information

Bihar: What is holding back growth in Bihar? Bihar Development Strategy Workshop, Patna. June 18

Bihar: What is holding back growth in Bihar? Bihar Development Strategy Workshop, Patna. June 18 Bihar: What is holding back growth in Bihar? Bihar Development Strategy Workshop, Patna. June 18 Ejaz Ghani World Bank. Structure of Presentation How does Bihar compare with other states? What is constraining

More information

POVERTY, INEQUALITY AND INCLUSIVE GROWTH: SOME POLICY IMPLICATIONS

POVERTY, INEQUALITY AND INCLUSIVE GROWTH: SOME POLICY IMPLICATIONS UNIT 11 POVERTY, INEQUALITY AND INCLUSIVE GROWTH: SOME POLICY IMPLICATIONS Structure 11.0 Objectives 11.1 Introduction 11.2 The Concept of Poverty 11.3 Measurement of Poverty 11.3.1 Income Indicators of

More information

In the estimation of the State level subsidies, the interest rates that have been

In the estimation of the State level subsidies, the interest rates that have been Subsidies of the State Governments s ubsidies provided by the State governments have been estimated for 15 major States for 1993-94. As explained earlier, the major data source is the Finance Accounts

More information

Slovenia. HDI values and rank changes in the 2013 Human Development Report

Slovenia. HDI values and rank changes in the 2013 Human Development Report Human Development Report 2013 The Rise of the South: Human Progress in a Diverse World Explanatory note on 2013 HDR composite indices Slovenia HDI values and rank changes in the 2013 Human Development

More information

Rich-Poor Differences in Health Care Financing

Rich-Poor Differences in Health Care Financing Rich-Poor Differences in Health Care Financing Role of Communities and the Private Sector Alexander S. Preker World Bank October 28, 2003 Flow of Funds Through the System Revenue Pooling Resource Allocation

More information

Appendix 2 Basic Check List

Appendix 2 Basic Check List Below is a basic checklist of most of the representative indicators used for understanding the conditions and degree of poverty in a country. The concept of poverty and the approaches towards poverty vary

More information

REPORT ON THE WORKING OF THE MATERNITY BENEFIT ACT, 1961 FOR THE YEAR 2010

REPORT ON THE WORKING OF THE MATERNITY BENEFIT ACT, 1961 FOR THE YEAR 2010 REPORT ON THE WORKING OF THE MATERNITY BENEFIT ACT, 1961 FOR THE YEAR 2010 1. Scope and Objective 1.1 The Maternity Benefit Act, 1961 extends to the whole of the Indian Union and applies to every factory,

More information

Human Development Indices and Indicators: 2018 Statistical Update. Russian Federation

Human Development Indices and Indicators: 2018 Statistical Update. Russian Federation Human Development Indices and Indicators: 2018 Statistical Update Briefing note for countries on the 2018 Statistical Update Introduction This briefing note is organized into ten sections. The first section

More information

Human Development Indices and Indicators: 2018 Statistical Update. Brazil

Human Development Indices and Indicators: 2018 Statistical Update. Brazil Human Development Indices and Indicators: 2018 Statistical Update Briefing note for countries on the 2018 Statistical Update Introduction Brazil This briefing note is organized into ten sections. The first

More information

Explanatory note on the 2014 Human Development Report composite indices. Ireland. HDI values and rank changes in the 2014 Human Development Report

Explanatory note on the 2014 Human Development Report composite indices. Ireland. HDI values and rank changes in the 2014 Human Development Report Human Development Report 2014 Sustaining Human Progress: Reducing Vulnerabilities and Building Resilience Explanatory note on the 2014 Human Development Report composite indices Ireland HDI values and

More information

Explanatory note on the 2014 Human Development Report composite indices. Switzerland. HDI values and rank changes in the 2014 Human Development Report

Explanatory note on the 2014 Human Development Report composite indices. Switzerland. HDI values and rank changes in the 2014 Human Development Report Human Development Report 2014 Sustaining Human Progress: Reducing Vulnerabilities and Building Resilience Explanatory note on the 2014 Human Development Report composite indices Switzerland HDI values

More information

Human Development Indices and Indicators: 2018 Statistical Update. Costa Rica

Human Development Indices and Indicators: 2018 Statistical Update. Costa Rica Human Development Indices and Indicators: 2018 Statistical Update Briefing note for countries on the 2018 Statistical Update Introduction This briefing note is organized into ten sections. The first section

More information

Human Development Indices and Indicators: 2018 Statistical Update. Switzerland

Human Development Indices and Indicators: 2018 Statistical Update. Switzerland Human Development Indices and Indicators: 2018 Statistical Update Briefing note for countries on the 2018 Statistical Update Introduction Switzerland This briefing note is organized into ten sections.

More information

Human Development Indices and Indicators: 2018 Statistical Update. Congo

Human Development Indices and Indicators: 2018 Statistical Update. Congo Human Development Indices and Indicators: 2018 Statistical Update Briefing note for countries on the 2018 Statistical Update Introduction Congo This briefing note is organized into ten sections. The first

More information

CHAPTER-3 DETERMINANTS OF FINANCIAL INCLUSION IN INDIA

CHAPTER-3 DETERMINANTS OF FINANCIAL INCLUSION IN INDIA CHAPTER-3 DETERMINANTS OF FINANCIAL INCLUSION IN INDIA Indian economy has changed a lot over the past 60 years. Over the next 40 years the changes could be dramatic. Using the latest demographic projection

More information

Human Development Indices and Indicators: 2018 Statistical Update. Argentina

Human Development Indices and Indicators: 2018 Statistical Update. Argentina Human Development Indices and Indicators: 2018 Statistical Update Briefing note for countries on the 2018 Statistical Update Introduction Argentina This briefing note is organized into ten sections. The

More information

Human Development Indices and Indicators: 2018 Statistical Update. Turkey

Human Development Indices and Indicators: 2018 Statistical Update. Turkey Human Development Indices and Indicators: 2018 Statistical Update Briefing note for countries on the 2018 Statistical Update Introduction Turkey This briefing note is organized into ten sections. The first

More information

Human Development Indices and Indicators: 2018 Statistical Update. Belgium

Human Development Indices and Indicators: 2018 Statistical Update. Belgium Human Development Indices and Indicators: 2018 Statistical Update Briefing note for countries on the 2018 Statistical Update Introduction Belgium This briefing note is organized into ten sections. The

More information

Human Development Indices and Indicators: 2018 Statistical Update. Peru

Human Development Indices and Indicators: 2018 Statistical Update. Peru Human Development Indices and Indicators: 2018 Statistical Update Briefing note for countries on the 2018 Statistical Update Introduction Peru This briefing note is organized into ten sections. The first

More information

Human Development Indices and Indicators: 2018 Statistical Update. Uzbekistan

Human Development Indices and Indicators: 2018 Statistical Update. Uzbekistan Human Development Indices and Indicators: 2018 Statistical Update Briefing note for countries on the 2018 Statistical Update Introduction Uzbekistan This briefing note is organized into ten sections. The

More information

POVERTY ESTIMATES IN INDIA: SOME KEY ISSUES

POVERTY ESTIMATES IN INDIA: SOME KEY ISSUES ERD Working Paper No. 51 POVERTY ESTIMATES IN INDIA: SOME KEY ISSUES SAVITA SHARMA May 2004 Savita Sharma is Director of the Perspective Planning Division, Planning Commission, India. This paper was prepared

More information

Explanatory note on the 2014 Human Development Report composite indices. Brunei Darussalam

Explanatory note on the 2014 Human Development Report composite indices. Brunei Darussalam Human Development Report 2014 Sustaining Human Progress: Reducing Vulnerabilities and Building Resilience Explanatory note on the 2014 Human Development Report composite indices Brunei Darussalam HDI values

More information

CHAPTER - 4 MEASUREMENT OF INCOME INEQUALITY BY GINI, MODIFIED GINI COEFFICIENT AND OTHER METHODS.

CHAPTER - 4 MEASUREMENT OF INCOME INEQUALITY BY GINI, MODIFIED GINI COEFFICIENT AND OTHER METHODS. CHAPTER - 4 MEASUREMENT OF INCOME INEQUALITY BY GINI, MODIFIED GINI COEFFICIENT AND OTHER METHODS. CHAPTER-4. MESUREMENT OF INCOME INEQUALITY BY GINI, MODIFIED GINI COEFFICIENT AND OTHER METHODS 4.1 Income

More information

Human Development Indices and Indicators: 2018 Statistical Update. Dominica

Human Development Indices and Indicators: 2018 Statistical Update. Dominica Human Development Indices and Indicators: 2018 Statistical Update Briefing note for countries on the 2018 Statistical Update Introduction Dominica This briefing note is organized into ten sections. The

More information

Human Development Indices and Indicators: 2018 Statistical Update. Nigeria

Human Development Indices and Indicators: 2018 Statistical Update. Nigeria Human Development Indices and Indicators: 2018 Statistical Update Briefing note for countries on the 2018 Statistical Update Introduction Nigeria This briefing note is organized into ten sections. The

More information

ECONOMIC REFORMS AND GROWTH PERFORMANCE OF INDIAN MANUFACTURING SECTOR AN INTERSTATE ANALYSIS

ECONOMIC REFORMS AND GROWTH PERFORMANCE OF INDIAN MANUFACTURING SECTOR AN INTERSTATE ANALYSIS Chapter IV ECONOMIC REFORMS AND GROWTH PERFORMANCE OF INDIAN MANUFACTURING SECTOR AN INTERSTATE ANALYSIS The basic objective of economic reforms was to improve productivity growth and competitiveness in

More information

Eswatini (Kingdom of)

Eswatini (Kingdom of) Human Development Indices and Indicators: 2018 Statistical Update Briefing note for countries on the 2018 Statistical Update Introduction (Kingdom This briefing note is organized into ten sections. The

More information

WEEK 7 INCOME DISTRIBUTION & QUALITY OF LIFE

WEEK 7 INCOME DISTRIBUTION & QUALITY OF LIFE WEEK 7 INCOME DISTRIBUTION & QUALITY OF LIFE Di akhir topik ini, pelajar akan dapat menjelaskan Agihan pendapatan Konsep and pengukuran kemiskinan Insiden kemiskinan dalam dan luar negara Why is income

More information

SOCIO ECONOMIC CONDITIONS OF FEMALE TAILORS IN AMRITSAR. Ritu Arora Associate Professor, D A V College, Amritsar

SOCIO ECONOMIC CONDITIONS OF FEMALE TAILORS IN AMRITSAR. Ritu Arora Associate Professor, D A V College, Amritsar SOCIO ECONOMIC CONDITIONS OF FEMALE TAILORS IN AMRITSAR Ritu Arora Associate Professor, D A V College, Amritsar ABSTRACT In India, the National Commission on labour has endorsed the ILO s definition and

More information

Human Development Indices and Indicators: 2018 Statistical Update. Paraguay

Human Development Indices and Indicators: 2018 Statistical Update. Paraguay Human Development Indices and Indicators: 2018 Statistical Update Briefing note for countries on the 2018 Statistical Update Introduction Paraguay This briefing note is organized into ten sections. The

More information

Chapter 12 LABOUR AND EMPLOYMENT

Chapter 12 LABOUR AND EMPLOYMENT Chapter 12 LABOUR AND EMPLOYMENT INTRODUCTION No doubt Punjab has made tremendous progress since independence and has been a leading state in per capita income and food production in the country. However,

More information

UNIT 3 DEMOGRAPHIC FEATURES AND INDICATORS OF DEVELOPMENT

UNIT 3 DEMOGRAPHIC FEATURES AND INDICATORS OF DEVELOPMENT UNIT 3 DEMOGRAPHIC FEATURES AND INDICATORS OF DEVELOPMENT Structure 3.0 Objectives 3.1 Introduction 3.2 Demographic Profile of India 3.3 Trends in Population Growth 3.3.1 Distribution of Population by

More information

IMPACT OF MICRO CREDIT ON POVERTY (WITH SPECIAL REFERENCE TO VILLUPURAM DISTRICT)

IMPACT OF MICRO CREDIT ON POVERTY (WITH SPECIAL REFERENCE TO VILLUPURAM DISTRICT) IMPACT OF MICRO CREDIT ON POVERTY (WITH SPECIAL REFERENCE TO VILLUPURAM DISTRICT) V. Leela Assistant Professor, Department of Economics, Periyar Govt. Arts College, Cuddalore Abstract In the present context

More information

Economic Growth and Social Development - Synergic or Contradictory?

Economic Growth and Social Development - Synergic or Contradictory? CESS Foundation Day Lecture 2 Economic Growth and Social Development - Synergic or Contradictory? by Dr. C. Rangarajan Chairman Economic Advisory Council to the Prime Minister CENTRE FOR ECONOMIC AND SOCIAL

More information

Healthcare Expenditure in Mizoram An Economic Appraisal

Healthcare Expenditure in Mizoram An Economic Appraisal Healthcare Expenditure in Mizoram An Economic Appraisal ================================================================= Language in India www.languageinindia.com ISSN 1930-2940 Vol. 13:4 April 2013 =================================================================

More information

Gram Panchayat Development Plan(GPDP) Ministry of Panchayati Raj

Gram Panchayat Development Plan(GPDP) Ministry of Panchayati Raj Gram Panchayat Development Plan(GPDP) Ministry of Panchayati Raj 1 Panchayat Statistics Avg. population per GP National Average population per GP: 3,416 No. of PRIs in the country : 2,56,103 No. of Gram

More information

TAMILNADU STATE FINANCES

TAMILNADU STATE FINANCES TAMILNADU STATE FINANCES Prof.K.R.Shanmugam 1 Dr.G.S.Ganesh Prasad 2 Dr. L. Venkatachalam 3 Report Submitted to The Fourteenth Finance Commission, New Delhi MADRAS INSTITUTE OF DEVELOPMENT STUDIES Chennai

More information

We all need public supports and services that provide avenues to economic security.

We all need public supports and services that provide avenues to economic security. Economic Security Investments in economic security ensure that people can survive difficult financial times and take steps to improve their quality of life. Families succeed when parents are secure in

More information

Poverty in India A CHRONOLOGICAL REVIEW ON MEASUREMENT AND IDENTIFICATION. Kaushik Ranjan Bandyopadhyay

Poverty in India A CHRONOLOGICAL REVIEW ON MEASUREMENT AND IDENTIFICATION. Kaushik Ranjan Bandyopadhyay Poverty in India A CHRONOLOGICAL REVIEW ON MEASUREMENT AND IDENTIFICATION Kaushik Ranjan Bandyopadhyay Contents 1. Introduction 2. Definition and Measurement of Income Poverty in India 2.1 The Working

More information

The Indian Labour Market : An Overview

The Indian Labour Market : An Overview The Indian Labour Market : An Overview Arup Mitra Institute of Economic Growth Delhi University Enclave Delhi-110007 e-mail:arup@iegindia.org fax:91-11-27667410 1. Introduction The concept of pro-poor

More information

Welcome to the presentation on

Welcome to the presentation on Welcome to the presentation on Poverty Reduction strategy in Bangladesh : Estimating and Monitoring of Poverty Mu. Mizanur Rahman Khandaker Deputy Director National Accounting Wing Bangladesh Bureau of

More information

Welfare Rates Need To Be Raised

Welfare Rates Need To Be Raised Welfare Rates Need To Be Raised In 2002 the BC government introduced new welfare policies that have significantly reduced income assistance rates and increased the barriers to getting assistance. These

More information

UNIT 4 POVERTY AND INEQUALITY: POLICY IMPLICATIONS

UNIT 4 POVERTY AND INEQUALITY: POLICY IMPLICATIONS UNIT 4 POVERTY AND INEQUALITY: POLICY IMPLICATIONS Structure 4.0 Objectives 4.1 Introduction 4.2 The Concept of Poverty 4.3 Measurement of Poverty 4.3.1 Income Indicators of Poverty 4.3.2 Indicators Covering

More information

INDIA S DEMOGRAPHIC TRANSITION AND ITS IMPACT ON ECONOMIC DEVELOPMENT

INDIA S DEMOGRAPHIC TRANSITION AND ITS IMPACT ON ECONOMIC DEVELOPMENT INDIA S DEMOGRAPHIC TRANSITION AND ITS IMPACT ON ECONOMIC DEVELOPMENT Rohini Kumari Assistant Professor, Department Of Economics, N.B.G.S.M. College Sohna, (Gurugram) ABSTRACT Demographic transition is

More information

HEALTH AND WELLBEING: AGEING WORKFORCE

HEALTH AND WELLBEING: AGEING WORKFORCE HEALTH AND WELLBEING: AGEING WORKFORCE DR NATHAN LANGSLEY BMEDSCI, MB BS, MRCPSYCH, MPHIL Welcome My details Scope of the talk Apologies for terminology eg older or ageing Apologies that some stats (eg

More information

ANNEX 1: Data Sources and Methodology

ANNEX 1: Data Sources and Methodology ANNEX 1: Data Sources and Methodology A. Data Sources: The analysis in this report relies on data from three household surveys that were carried out in Serbia and Montenegro in 2003. 1. Serbia Living Standards

More information

Indian Regional Rural Banks Growth and Performance

Indian Regional Rural Banks Growth and Performance Indian Regional Rural Banks Growth and Performance Syed Mahammad Ghouse ghouse.marium@gmail.com Narayana Reddy tnreddy.jntua@gmail JNTU College of Engineering Regional rural Banks play a vital role for

More information

West Bengal Budget Analysis

West Bengal Budget Analysis 0.3% 3. 2.3% 6.4% 5.9% 8.8% 8. 8. 11.4% 10.2% 11. 15. West Bengal Budget Analysis The Finance Minister of West Bengal, Dr. Amit Mitra presented the Budget for financial year on January 31, 2018. Budget

More information

3, 1, 2017 A STUDY ON FINANCIAL PERFORMANCE OF TAMILNADU INDUSTRIAL INVESTMENT CORPORATION LIMITED

3, 1, 2017 A STUDY ON FINANCIAL PERFORMANCE OF TAMILNADU INDUSTRIAL INVESTMENT CORPORATION LIMITED A STUDY ON FINANCIAL PERFORMANCE OF TAMILNADU INDUSTRIAL INVESTMENT CORPORATION LIMITED Dr. M. Thamaraikannan* & V. Yuvarani** * Associate Professor and Head, PG and Research Department of Commerce, Sri

More information

Sarva Shiksha Abhiyan, GOI

Sarva Shiksha Abhiyan, GOI Sarva Shiksha Abhiyan, GOI 2012-13 The Sarva Shiksha Abhiyan (SSA) is the Government of India's (GOI) flagship elementary education programme. Launched in 2001, it aims to provide universal primary education

More information

Ending Poverty through Sustainable Development Goals

Ending Poverty through Sustainable Development Goals Ending Poverty through Sustainable Development Goals Dr.RM.MEYYAMMAI, Assistant Professor, Department of Economics, Dharmapuram Gnanambikai Govt. Arts College for Women, Mayiladuthurai Dr.RM.SUBRAMANIAN,

More information

Educational and Health Status of Scheduled Tribes of Solabham Village in G. Madugula Mandal of Visakhapatnam District, Andhra Pradesh

Educational and Health Status of Scheduled Tribes of Solabham Village in G. Madugula Mandal of Visakhapatnam District, Andhra Pradesh Educational and Health Status of Scheduled Tribes of Solabham Village in G. Madugula Mandal of Visakhapatnam District, Andhra Pradesh D. PULLA RAO Department of Economics, Andhra University, Visakhapatnam

More information

THE INDIAN HOUSEHOLD SAVINGS LANDSCAPE

THE INDIAN HOUSEHOLD SAVINGS LANDSCAPE THE INDIAN HOUSEHOLD SAVINGS LANDSCAPE Cristian Badarinza National University of Singapore Vimal Balasubramaniam University of Oxford Tarun Ramadorai University of Oxford, CEPR and NCAER July 2016 Savings

More information

Determinants of Human Development Index: A Cross-Country Empirical Analysis

Determinants of Human Development Index: A Cross-Country Empirical Analysis MPRA Munich Personal RePEc Archive Determinants of Human Development Index: A Cross-Country Empirical Analysis Smit Shah National Institute of Bank Management,Pune,India 16 September 2016 Online at https://mpra.ub.uni-muenchen.de/73759/

More information

A Review of Age Structural Transition and Demographic Dividend in South Asia: Opportunities and Challenges

A Review of Age Structural Transition and Demographic Dividend in South Asia: Opportunities and Challenges Population Ageing (2012) 5:281 298 DOI 10.1007/s12062-012-9071-y A Review of Age Structural Transition and Demographic Dividend in South Asia: Opportunities and Challenges K. Navaneetham & A. Dharmalingam

More information

Budget Analysis for Child Protection

Budget Analysis for Child Protection Budget Analysis for Child Protection Children under the age of 18 constitute 42 percent of India's population. They represent not just India's future, but are integral to securing India's present. Yet

More information

ROLE OF PRIVATE SECTOR BANKS FOR FINANCIAL INCLUSION

ROLE OF PRIVATE SECTOR BANKS FOR FINANCIAL INCLUSION 270 ROLE OF PRIVATE SECTOR BANKS FOR FINANCIAL INCLUSION ABSTRACT DR. BIMAL ANJUM*; RAJESHTIWARI** *Professor and Head, Department of Business Administration, RIMT-IET, Mandi Gobindgarh, Punjab. **Assistant

More information

BUDGET BRIEFS Volume 9, Issue 4 National Health Mission (NHM) GOI,

BUDGET BRIEFS Volume 9, Issue 4 National Health Mission (NHM) GOI, BUDGET BRIEFS Volume 9, Issue 4 National Health Mission (NHM) GOI, 217-18 HIGHLIGHTS The National Health Mission is the Government of India s (GOI) largest public health programme. It consists of two sub-missions:

More information

Tracking Government Investments for Nutrition at Country Level Patrizia Fracassi, Clara Picanyol, 03 rd July 2014

Tracking Government Investments for Nutrition at Country Level Patrizia Fracassi, Clara Picanyol, 03 rd July 2014 Tracking Government Investments for Nutrition at Country Level Patrizia Fracassi, Clara Picanyol, 03 rd July 2014 1. Introduction Having reliable data is essential to policy makers to prioritise, to plan,

More information

Operation and Maintenance Expenditure and Cost Recovery

Operation and Maintenance Expenditure and Cost Recovery Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized The World Bank Policy Paper extracted from the World Bank Study on Review of Effectiveness

More information

Universalising Social Protection in India: Issues and Challenges

Universalising Social Protection in India: Issues and Challenges Universalising Social Protection in India: Issues and Challenges by Professor Alakh N. Sharma Director, Institute for Human Development New Delhi Institute for Human Development NIDM Building, 3 rd Floor,

More information

Research Report No. 69 UPDATING POVERTY AND INEQUALITY ESTIMATES: 2005 PANORA SOCIAL POLICY AND DEVELOPMENT CENTRE

Research Report No. 69 UPDATING POVERTY AND INEQUALITY ESTIMATES: 2005 PANORA SOCIAL POLICY AND DEVELOPMENT CENTRE Research Report No. 69 UPDATING POVERTY AND INEQUALITY ESTIMATES: 2005 PANORA SOCIAL POLICY AND DEVELOPMENT CENTRE Research Report No. 69 UPDATING POVERTY AND INEQUALITY ESTIMATES: 2005 PANORAMA Haroon

More information

Social Security Provisioning in Bihar: A Case for Universal Old Age Pension

Social Security Provisioning in Bihar: A Case for Universal Old Age Pension Social Security Provisioning in Bihar: A Case for Universal Old Age Pension First Author: Dr. Manjur Ali (Research Officer) Second Author: Nilachala Acharya Authors Organisation: Centre for Budget and

More information

UNEMPLOYMENT AMONG SC's AND ST's IN INDIA: NEED FOR SPECIAL CARE

UNEMPLOYMENT AMONG SC's AND ST's IN INDIA: NEED FOR SPECIAL CARE UNEMPLOYMENT AMONG SC's AND ST's IN INDIA: NEED FOR SPECIAL CARE Shivanna T 1 Dr. Ravindranath N.Kadam 2 1 Research Scholar Dept. of Studies and Research in Economics, Kuvempu University, Shankaraghatta,

More information

Preliminary data for the Well-being Index showed an annual growth of 3.8% for 2017

Preliminary data for the Well-being Index showed an annual growth of 3.8% for 2017 7 November 2018 Well-being Index - Preliminary data for the Well-being Index showed an annual growth of 3.8% for The Portuguese Well-being Index has positively progressed between and and declined in. It

More information

Socio-Economic Status Of Rural Families: With Special Reference To BPL Households Of Pauri District Of Uttarakhand

Socio-Economic Status Of Rural Families: With Special Reference To BPL Households Of Pauri District Of Uttarakhand IOSR Journal Of Humanities And Social Science (IOSR-JHSS) Volume 22, Issue 6, Ver. 2 (June. 2017) PP 16-20 e-issn: 2279-0837, p-issn: 2279-0845. www.iosrjournals.org Socio-Economic Status Of Rural Families:

More information

Civil Service Pension Reform: Time to Act By Mukul Asher and Deepa Vasudevan 1

Civil Service Pension Reform: Time to Act By Mukul Asher and Deepa Vasudevan 1 Civil Service Pension Reform: Time to Act By Mukul Asher and Deepa Vasudevan 1 (Published in Economic and Political Weekly, Vol.39, No.51, December 18-24, 2004, pp 5363-5365) The urgency of implementing

More information

State Government Borrowing: April September 2015

State Government Borrowing: April September 2015 November 5, 2015 Economics State Government Borrowing: April September 2015 State Development Loans (SDL) are debt issued by state governments to fund their fiscal deficit. States in India like the centre,

More information

Employment Perspective and Labour Policy

Employment Perspective and Labour Policy Employment Perspective and Labour Policy 63 4 Employment Perspective and Labour Policy 4.1. The generation of productive and gainful employment, with decent working conditions, on a sufficient scale to

More information

Study-IQ education, All rights reserved

Study-IQ education, All rights reserved Copyright @ Study-IQ education, All rights reserved TIRELESSSOUL GauravGarg888 Q1) The File cover chosen for 2018 economic survey report was pink because A) To support human rights B) To highlight gender

More information

Human Development Indices: Old and New

Human Development Indices: Old and New IIPS Working Paper No. 6 Human Development Indices: Old and New Sanjay K. Mohanty* and Bidyadhar Dehury** *Associate Professor Department of Fertility Studies International Institute for Population Sciences

More information

SOCIO-ECONOMIC STATUS OF MUSLIM MAJORITY DISTRICT OF KERALA: AN ANALYSIS

SOCIO-ECONOMIC STATUS OF MUSLIM MAJORITY DISTRICT OF KERALA: AN ANALYSIS SOCIO-ECONOMIC STATUS OF MUSLIM MAJORITY DISTRICT OF KERALA: AN ANALYSIS Dr. Ibrahim Cholakkal, Assistant Professor of Economics, E.M.E.A. College of Arts and Science, Kondotti (Affiliated to University

More information